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Tools

Test of variance

Calculator

Sample 1 Sample 2
Variance
Alpha
Tail / side

Result


Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.

Calculator

Sample 1 Sample 2
Alpha
Tail / side

Result


Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.

Calculator

f-statistic f-score to p-value
degrees of freedom
p-value p-value to f-score
Tail / side

Result


Fill in the fields in the calculator box and press 'Calculate' for the statistical significance.


Information

One-sample test of variance
The one-sample test of variance performs a chi-square test under the hypothesis that the data of sample 1 come from a normal distribution with a known variance (sample 2). If the variances are unequal, the null hypothesis (variance of sample 1 is equal to variance of sample 2) is rejected.

Two-sample F-test
The two-sample F-test of variance is performed to test the hypothesis that two independent samples come from normal distributions with the same variance, against the alternative that they come from normal distributions with different variances.

F-statistic and p-value
The p-value is derived from the F-statistic score by making use of the F cumulative distribution function.